Titlebook: Intelligent Systems and Machine Learning; First EAI Internatio Sachi Nandan‘Mohanty,Vicente Garcia Diaz,G. A. E. Conference proceedings 20

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Measles Rash Disease Classification Based on Various CNN Classifiersost likely to contract the immunizable disease measles. Measles is a highly commutable viral infection that has a 90% secondary infection incidence among contacts who are vulnerable. In this study, we have used a deep convolutional neural network to discriminate between various skin diseases and mea

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Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of ormality identification and the extraction of concealed but essential information from image data. This is necessary in order to diagnose transient ischemic strokes. Because of both of these conditions, identifying people who have had transient ischemic strokes has become more challenging. In order

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Detection of Psychological Stability Status Using Machine Learning Algorithmsnteresting wellness issues, one of the most notable of which is misery or stress, which can prompt passing or other horrifying demonstrations. These inconsistencies are alluded to as bipolar problem, which can be treated by following a couple of expert suggested medicines. Victims who have been dete

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A Convolutional Neural Network Based Prediction Model for Classification of Skin Cancer Imagescancer has also taken a steep rise and resultantly it becomes imperative to devise an efficient model to detect skin cancer. The requirement for automatic detection of skin cancer further grows owing to rise in rate of melanoma skin cancer, its expensive treatment, and its high fatality rate. Treatm

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